Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Factor graph-based sparse code multiple access (SCMA) and low density parity check (LDPC) joint detection decoding algorithm and apparatus

A technology of joint detection and decoding algorithm, which is applied in the field of SCMA and LDPC joint detection and decoding algorithm and device based on factor graph, which can solve the problems of SCMA transmission system bit error rate performance gap and so on

Active Publication Date: 2017-01-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the SCMA transmission system's bit error rate performance is far from the ideal single-user transmission performance in the prior art using SCMA detection and LDPC decoding for joint detection and decoding.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Factor graph-based sparse code multiple access (SCMA) and low density parity check (LDPC) joint detection decoding algorithm and apparatus
  • Factor graph-based sparse code multiple access (SCMA) and low density parity check (LDPC) joint detection decoding algorithm and apparatus
  • Factor graph-based sparse code multiple access (SCMA) and low density parity check (LDPC) joint detection decoding algorithm and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described in detail below in combination with specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0050] The present invention uses N resource blocks (for example, OFDMA time-frequency resource blocks) to carry K access users, and the overload factor is λ=K / N. The data of each user is mapped to N resource blocks to achieve the effect of N-fold spread spectrum, and has the feature of N in That is, the codeword after SCMA encoding. The signal received on the nth resource block at the receiving end is, in is the noise term, h kn is the channel gain corresponding to the kth user to the nth resource block.

[0051] Such as figure 1 The schematic flow chart of shown method of the present invent...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a factor graph-based sparse code multiple access (SCMA) and low density parity check (LDPC) joint detection decoding algorithm and apparatus. Decoding information of LDPC is used to assist SCMA multi-user detection, an SCMA detection iteration process and an LDPC decoding iteration process are jointed on a factor graph so as to obtain a joint factor graph of SCMA detection and LDPC decoding, so that information integration of SCMA detection and LDPC decoding is performed in each iteration process. From the point of bit energy efficiency, ideal single-user transmission performance can be almost reached; and from the point of average iteration times, the iteration times of the present invention is far less than that of an outer iteration solution and is equivalent to that of a traditional non-feedback solution. The convergence speed is high, and no obvious, extra detection and decoding complexity is caused. The algorithm and apparatus better meet performance demands of a 5G system in the future.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a factor graph-based SCMA and LDPC joint detection and decoding algorithm and device. Background technique [0002] SCMA (Sparse Code Multiple Access) technology is an alternative multiple access technology designed for 5G requirements such as large capacity, massive connections, and ultra-low latency. At the sending end, it directly maps the coded bits to multi-dimensional codewords in the complex domain, and the codewords of different users are non-orthogonally superimposed on the same resource block in a sparse spreading manner; the receiving end uses sparsity for low-complexity Multi-user joint detection. Compared with OFDMA technology, SCMA uses non-orthogonal superposition to serve more users at the same time under the same amount of resources, thereby effectively improving the overall system capacity. [0003] LDPC code is a linear packet channel error cor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H03M13/05
CPCH03M13/05
Inventor 韩凯宁胡剑浩陈杰男吴廷勇马上
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com